Executive - Azure Data Engineering
At a glance
Mid-level Data Engineering role at B-Entity Career Site. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Azure data pipelines with Data Factory, Synapse and other Azure services
- Create Azure data lakes and warehouses, bringing together structured and unstructured data
- Work with data scientists, analysts and business stakeholders to turn their data needs into solutions
- Improve workflow speed, reliability and cost, and monitor systems to resolve issues
- Apply governance and security controls, while automating processes through Azure tools and CI/CD pipelines
What you bring
- A bachelor's or master's degree in computer science, engineering or a related discipline
- Hands-on knowledge of Azure Data Factory, Synapse Analytics, Azure SQL and Data Lake Storage
- Strong SQL skills plus scripting ability in Python or Scala
- Experience with data modeling, ETL or ELT design, and performance tuning
Who this fits
This role suits a mid-level data engineer who can build and improve Azure data systems and work with technical and business partners. The role is based in Bangalore, India.
From the employer
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse, and other Azure services.
- Architect and implement data lake and data warehouse solutions on Azure.
- Perform data ingestion, transformation, and integration from various structured and unstructured sources.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Optimize data workflows for performance, reliability, and cost-efficiency.
- Implement data governance, security, and compliance standards across Azure data platforms.
- Automate data processes using Azure Functions, Logic Apps, and CI/CD pipelines.
- Monitor, troubleshoot, and enhance data systems and workflows.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Expertise in Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage, and related services.
- Strong proficiency in SQL and scripting languages like Python or Scala.
- Experience with data modeling, ETL/ELT design, and performance tuning.
- Familiarity with DevOps practices and tools (Azure DevOps, Git, etc.).
- Understanding of data governance, privacy, and security principles.
- Excellent communication and stakeholder management skills.
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
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